Importing additional spatial data

library(sf)
library(mapview)

Mined Units

The mined units can be read in directly with st_read.

mined <- st_read('https://ca.dep.state.fl.us/arcgis/rest/services/OpenData/MMP_MINEDUNITS/MapServer/0/query?outFields=*&where=1%3D1&f=geojson')

Reading layer `OGRGeoJSON' from data source 
  `https://ca.dep.state.fl.us/arcgis/rest/services/OpenData/MMP_MINEDUNITS/MapServer/0/query?outFields=*&where=1%3D1&f=geojson' 
  using driver `GeoJSON'
Simple feature collection with 371 features and 10 fields
Geometry type: MULTIPOLYGON
Dimension:     XY
Bounding box:  xmin: -82.95369 ymin: 27.46063 xmax: -81.69582 ymax: 30.51925
Geodetic CRS:  WGS 84

mapview(mined)

Brownfield sites

Download the zipped kml file to a temporary directory.

# url with zipped kml
urlin <- 'https://ordsext.epa.gov/FLA/www3/acres_frs.kmz'

# download file
tmp1 <- tempfile(fileext = ".kmz")
download.file(url = urlin, destfile = tmp1, method = 'curl')

Unzip the kmz file.

tmp2 <- tempdir()
unzip(tmp1, exdir = tmp2)

Get the name of the kml file to read.

lyr <- unzip(tmp1, list = T)$Name
fl <- paste(c(tmp2, lyr), collapse = "\\")
fl <- gsub('\\\\', '/', fl)

Read the kml file with st_read and drop Z dimension with st_zm. Here, the Tampa sites are loaded. You can view all possible locations in the kml file with st_layers.

dat <- st_read(fl, layer = 'TAMPA') %>% 
  st_zm()

Reading layer `TAMPA' from data source `/tmp/Rtmpf6KkI0/ACRES_FRS.KML' using driver `LIBKML'
Simple feature collection with 103 features and 12 fields
Geometry type: POINT
Dimension:     XYZ
Bounding box:  xmin: -82.51857 ymin: 27.87108 xmax: -82.3533 ymax: 28.07826
z_range:       zmin: 0 zmax: 0
Geodetic CRS:  WGS 84

mapview(dat)